Gets or sets whether the clustering distortion error (the
average distance between all data points and the cluster
centroids) should be computed at the end of the algorithm.
The result will be stored in Error. Default is true.

The k-Modes algorithm is a variant of the k-Means which instead of
locating means attempts to locate the modes of a set of points. As
the algorithm does not require explicit numeric manipulation of the
input points (such as addition and division to compute the means),
the algorithm can be used with arbitrary (generic) data structures.

This is the specialized, non-generic version of the K-Modes algorithm
that is set to work on Int32 arrays.